Planet designs, builds, and operates the largest constellation of imaging satellites in history to provide unprecedented geospatial data for commercial, environmental, and humanitarian sectors
Job Summary
Planet designs, builds, and operates the largest constellation of imaging satellites in history to provide unprecedented geospatial data for commercial, environmental, and humanitarian sectors.
Solutions Architects work closely with customers to understand their needs and design tailored solutions leveraging remote sensing, AI, and cloud technologies to enable impactful global change.
Employees enjoy benefits such as paid time off, wellness programs, home office reimbursement, tuition assistance, equity, and a strong commitment to diversity, inclusion, and belonging.
Matching Summary
Planet designs, builds, and operates the largest constellation of imaging satellites in history to provide unprecedented geospatial data for commercial, environmental, and humanitarian sectors.
Skills & Requirements
Must-have
Remote sensing and geospatial expertise
Python programming for geospatial applications
Solution architecture and design
Experience with QGIS and ArcGIS
Cloud computing environments knowledge
Agile cross-functional team experience
Workshop and training facilitation
Nice-to-have
Machine learning applied to geospatial data
Use of AI tools like Claude and Streamlit
Knowledge of Challenger client methodology
JavaScript and web mapping libraries
Experience with modern cloud tools and pipelines
Strong customer success lifecycle involvement
People-centric and inclusive culture
Key Requirements
4+ years technical geospatial experience
Bachelor’s degree in GIS or related field
Proficiency in Python for geospatial data
Experience with geospatial software like GDAL and ENVI